摘要
基于ARMA模型,提出了一种新的气固流化床流态化过程监控方案。利用Honeywell公司生产的24PC系列压力/差压传感器获取气固流化床压力波动信号,拟合n阶自回归m阶滑动平均模型ARMA(n,m)。通过分析,确定自回归阶数n的阈值,实现流态化过程监控。监控在实验室的气固流化床实验装置上进行,初步实验表明,方案用于气固流化床流态化过程监控是有效的。
Based on ARMA model,a novel method of process control of gas-solid fluidized bed was proposed.ARMA models of the signals acquired by 24PC series pressure sensors of Honeywell company ware constructed,and their autoregressive ordern was identified subsequently.Flow patterns were identified by threshold of order n.Experimental results show that this method is effective in industrial process control.
出处
《仪表技术与传感器》
CSCD
北大核心
2004年第10期44-46,共3页
Instrument Technique and Sensor